Angang Cui

17 papers Journal 17
YearRankTypeTitle / Venue / Authors
2026 J jnl
Logarithmic function minimization to compressed sensing with application to magnetic resonance imaging.
Numer. Algorithms
Angang Cui, Qingyong Zhu, Lijun Zhang, Shengli Xue
2025 J jnl
A generalized nonconvex algorithm framework for low-rank and sparse matrix decomposition.
Appl. Intell.
Angang Cui, Lijun Zhang, Haizhen He, Shengli Xue
2025 J jnl
A stochastic primal-dual algorithm for composite optimization with a linear operator.
Expert Syst. Appl.
Meng Wen, Yongqiang Zhang, Yuchao Tang, Angang Cui, Jigen Peng
2023 J jnl
A truncated approximate difference algorithm for sparse signal recovery.
Digit. Signal Process.
Angang Cui, Lijun Zhang, Haizhen He, Meng Wen
2023 J jnl
Iterative Difference Hard-Thresholding Algorithm for Sparse Signal Recovery.
IEEE Trans. Signal Process.
Angang Cui, Haizhen He, Zhiqi Xie, Weijun Yan, Hong Yang
2022 J jnl
A General Null Space Property for Sparse Principal Component Analysis.
Circuits Syst. Signal Process.
Xuanli Han, Jigen Peng, Angang Cui, Fujun Zhao, Kexue Li
2022 J jnl
A Nonconvex Method to Low-Rank Matrix Completion.
IEEE Access
Haizhen He, Angang Cui, Hong Yang, Meng Wen
2020 J jnl
Design strategy of thresholding operator for low-rank matrix recovery problem.
Signal Process.
Fujun Zhao, Jigen Peng, Angang Cui
2020 J jnl
Minimization of Fraction Function Penalty in Compressed Sensing.
IEEE Trans. Neural Networks Learn. Syst.
Haiyang Li, Qian Zhang, Angang Cui, Jigen Peng
2019 J jnl
Corrigendum to "Affine matrix rank minimization problem via non-convex fraction function penalty" [J. Comput. Appl. Math. 336 (2018) 353-374].
J. Comput. Appl. Math.
Angang Cui, Jigen Peng, Haiyang Li, Chengyi Zhang, Youngchao Yu
2019 J jnl
Efficient primal-dual fixed point algorithms with dynamic stepsize for composite convex optimization problems.
Multidimens. Syst. Signal Process.
Meng Wen, Yuchao Tang, Angang Cui, Jigen Peng
2019 J jnl
Iterative thresholding algorithm based on non-convex method for modified lp-norm regularization minimization.
J. Comput. Appl. Math.
Angang Cui, Jigen Peng, Haiyang Li, Meng Wen, Junxiong Jia
2019 J jnl
Sparse non-negative signal reconstruction using fraction function penalty.
IET Signal Process.
Angang Cui, Jigen Peng, Haiyang Li, Meng Wen
2018 J jnl
A nonconvex approach to low-rank and sparse matrix decomposition with application to video surveillance.
CoRR
Angang Cui, Jigen Peng, Haiyang Li, Changlong Wang
2018 J jnl
Affine matrix rank minimization problem via non-convex fraction function penalty.
J. Comput. Appl. Math.
Angang Cui, Jigen Peng, Haiyang Li, Chengyi Zhang, Yongchao Yu
2018 J jnl
Exact recovery low-rank matrix via transformed affine matrix rank minimization.
Neurocomputing
Angang Cui, Jigen Peng, Haiyang Li
2017 J jnl
A Primal Douglas-Rachford Splitting Method for the Constrained Minimization Problem in Compressive Sensing.
Circuits Syst. Signal Process.
Yongchao Yu, Jigen Peng, Xuanli Han, Angang Cui